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International Journal of Architectural Heritage
Conservation, Analysis, and Restoration
Volume 18, 2024 - Issue 4
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Research Article

A Mechanical Model Used for the Multifactor Analysis of Through-Tenon Joints in Traditional Chinese Timber Structures

ORCID Icon, , &
Pages 551-576 | Received 21 Jul 2022, Accepted 20 Jan 2023, Published online: 15 Feb 2023
 

ABSTRACT

The through-tenon joint is one of the most widely used joints in traditional Chinese timber structures. The moment-rotation relationship of the joints was established using geometric, physical, and equilibrium conditions as well as full consideration of various influencing factors. Furthermore, three types of joints with different tenon lengths were manufactured and tested under quasi-static tests. The damage features and the moment-rotation relationship curves of these joints were obtained and used to verify the proposed mechanical model. Additionally, we compared the proposed model to the existing mechanical models using the experimental results of 16 groups from other scholars and conducted parameter analyses through the model. The results showed that the lengths of the tenon had a remarkable influence on the mechanical properties of the joints. The proposed mechanical model agreed well with the experimental results. The moment-rotation relationship can be divided into the slip and elastic stages as well as the yield at one side, and yield at both sides. The comparisons to the existing models indicate that the proposed model in this paper has broader applicability and can be used as a reference for the protection and reinforcement of mortise-tenon joints used in traditional timber structures.

Acknowledgments

This work was generously funded by the National Natural Science Foundation of China (Grant No. 51878559). The authors are grateful to NSFC for the support.

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Funding

This work was supported by the the National Natural Science Foundation of China [51878559].

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